SOTAVerified

Memorization

Papers

Showing 101125 of 1088 papers

TitleStatusHype
Generative Evaluation of Complex Reasoning in Large Language ModelsCode1
Mitigating Memorization of Noisy Labels via Regularization between RepresentationsCode1
DEPN: Detecting and Editing Privacy Neurons in Pretrained Language ModelsCode1
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and AttributionCode1
DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature DistributionsCode1
Data Unlearning in Diffusion ModelsCode1
Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy ReasoningCode1
Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement FilteringCode1
How Do Large Language Models Acquire Factual Knowledge During Pretraining?Code1
Beyond Memorization: The Challenge of Random Memory Access in Language ModelsCode1
Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion modelsCode1
Advancing Cross-domain Discriminability in Continual Learning of Vision-Language ModelsCode1
Are Large Pre-Trained Language Models Leaking Your Personal Information?Code1
An Empirical Study of Memorization in NLPCode1
Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language ModelsCode1
Jointly Non-Sampling Learning for Knowledge Graph Enhanced RecommendationCode1
Large Language Models Are Not Strong Abstract ReasonersCode1
Large Loss Matters in Weakly Supervised Multi-Label ClassificationCode1
Do Language Models Plagiarize?Code1
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training LayersCode1
Learning to Remember More with Less MemorizationCode1
Learning Transferable Parameters for Unsupervised Domain AdaptationCode1
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine LearningCode1
Bot or Human? Detecting ChatGPT Imposters with A Single QuestionCode1
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy LabelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM-540B (few-shot, k=5)Accuracy95.4Unverified
2Gopher-280B (few-shot, k=5)Accuracy80Unverified
3PaLM-62B (few-shot, k=5)Accuracy77.7Unverified